Software Engineer | Industrial Data Architect | GxP & DevOps Specialist

I build high-integrity, distributed systems that bridge the gap between complex data and real-world operations. My expertise lies in designing scalable data pipelines and mission-critical HMIs for high-stakes industries like Biotech, Energy, and Aerospace.

• Industrial Data Engineering: Architecting Medallion-style Lakehouses for multi-million row telemetry.
• Mission-Critical Systems: Expertise in GxP-compliant software, 21 CFR Part 11 integrity, and high-availability DevOps.
• Distributed Architectures: Specialized in "Triad" microservice patterns (.NET, Python, React).
• Domain Interest: Exploring the intersection of Data Engineering and GNSS/CubeSat ground segments.

Industrial Digital Twin & GxP-Compliant HMI

• Architecture: Engineered a Decoupled Triad Architecture (React HMI ↔ Python SCADA Engine ↔ .NET 10 Compliance Service) to bridge historical data with live operational compliance.
• Innovation: Integrated a physics-based Digital Twin linking Impeller RPM to Oxygen Transfer and predictive temperature modeling via moving-window linear regression.
• Compliance: Built a dedicated .NET microservice for immutable audit trails (21 CFR Part 11) and a React-based HMI featuring deterministic pulsing alarms.

Enterprise Data Engineering & Power BI Analytics (Microsoft Fabric)

• Business Impact: Identified €4.9M in potential cost recovery (81,744 MWh efficiency risk) through advanced Power BI (DAX) and Star-Schema modeling.
• Scale: Implemented a full Medallion Architecture (Bronze/Silver/Gold) on OneLake using PySpark to process and transform millions of rows of operational telemetry.
• Visualization: Developed executive-level Power BI dashboards utilizing calculation groups and DirectLake mode to track production vs. demand with sub-second interactivity.
• Governance: Established a "Single Source of Truth" by computing KPIs upstream in Spark, secured via RLS/OLS, and automated through Fabric CI/CD pipelines.

End-to-End Medallion Pipeline (dbt + Databricks + Power BI)

• Architecture: Engineered a Medallion Pipeline (Bronze → Silver → Gold) in Databricks to refactor nested shipment telemetry into an optimized Star Schema.
• Engineering: Leveraged dbt-databricks to implement MD5 surrogate keys and "Inferred Dimensions," ensuring 100% referential integrity for complex Fact-to-Dimension joins.
• Analytics Layer: Developed an integrated Power BI Dashboard utilizing the Star Schema to enable sub-second "Drill Down" from executive logistics KPIs to granular order-item details.
• Quality & CI/CD: Hardened the pipeline with dbt 2.0 relationship tests and automated schema validation to eliminate "Blank" slicer values and row-inflation in downstream reports.

Quality Engineering & DevOps Automation

• Stability: Developed a comprehensive automated testing suite designed for high-frequency deployment environments, ensuring system reliability through rigorous validation.
• Automation: Focused on building robust frameworks and CI/CD integration to minimize regression risks in production-aligned scenarios.

I’m always looking to bridge the gap between complex industrial data and actionable intelligence. Whether you want to talk IIoT architecture or piano sonatas, let’s chat!

• Architecture Deep-Dives: Ask me about Digital Twins, Medallion Lakehouses (Fabric/Databricks), or maintaining GxP integrity in automated pipelines.
• Aerospace & GNSS: I am actively seeking collaborations on GNSS signal processing and CubeSat ground segment telemetry.
• Professional Hubs: * LinkedIn — For industry networking and architecture discussions.
  • Twitter/X — For tech updates and real-time insights.

I balance the logic of data with the rhythm of music—I love cycling, urban hiking, singing, leading choral groups and playing the piano. Whether in a data pipeline or a piano sonata, "timing" is everything!